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Displaying 1 - 13 of 13

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8X Accelerated Intervertebral Disc Compositional Evaluation with Recurrent Encoder-Decoder Deep Learning Network

Author:Aniket Tolpadi Francesco Caliva Misung Han Valentina Pedoia Sharmila Majumdar

Session Type:Digital Poster

Session Date:Tuesday, 18 May 2021

Topic:Machine Learning for Quantitative Imaging

Session Name:Machine Learning for Quantitative Imaging

Program Number:2179

Room Session:Concurrent 1

Institution:UCSF University of California, Berkeley

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Assessment of the potential of a Deep Learning Knee Segmentation and Anomaly Detection Tool in the clinical routine

Author:Laura Carretero Pablo García-Polo Suryanarayanan Kaushik Maggie Fung Bruno Astuto Rutwik Shah Pablo F Damasceno Valentina Pedoia Sharmila Majumdar Mario Padrón

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4048

Room Session:Concurrent 4

Institution:Clínica Cemtro GE Healthcare UCSF

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Characterizing Knee Osteoarthritis Progression with Structural Phenotypes using MRI and Deep Learning

Author:Nikan Namiri Jinhee Lee Bruno Astuto Felix Liu Rutwik Shah Sharmila Majumdar Valentina Pedoia

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4045

Room Session:Concurrent 4

Institution:University of California, San Francisco

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Deep-Learning Based Image Reconstruction for Lumbar Spine MRI at 3T: Clinical Feasibility

Author:Emma Bahroos Misung Han Cynthia Chin David Shin Javier Villanueva-Meyer Thomas Link Valentina Pedoia Sharmila Majumdar

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4052

Room Session:Concurrent 4

Institution:GE Healthcare University of California San Francisco

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DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

Author:Alejandro Morales Martinez Jinhee Lee Francesco Caliva Claudia Iriondo Sarthak Kamat Sharmila Majumdar Valentina Pedoia

Session Type:Oral

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence Applied to MSK MRI

Program Number:0806

Room Session:Concurrent 4

Institution:UCSF

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Fully automatic detection and voxel-wise mapping of vertebral body Modic changes using deep convolutional neural networks

Author:Kenneth Gao Radhika Tibrewala Madeline Hess Upasana Bharadwaj Gaurav Inamdar Cynthia Chin Valentina Pedoia Sharmila Majumdar

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4058

Room Session:Concurrent 4

Institution:University of California, San Francisco University of California, Berkeley-University of California San Francisco Graduate Program in Bioengineering

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Improving the generalizability of convolutional neural networks for T2-lesion segmentation of gliomas in the post-treatment setting

Author:Jacob Ellison Francesco Caliva Pablo Damasceno Tracy Luks Marisa LaFontaine Julia Cluceru Anil Kemisetti Yan Li Valentina Pedoia Javier Villanueva-Meyer Janine Lupo

Session Type:Digital Poster

Session Date:Wednesday, 19 May 2021

Topic:Emerging Applications of AI in Neuroimaging

Session Name:Emerging Applications of AI in Neuroimaging for CES I

Program Number:3495

Room Session:Concurrent 6

Institution:UCSF

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Learned knee cartilage and meniscus shape features are associated with osteoarthritis incidence

Author:Claudia Iriondo Jinhee Lee Sharmila Majumdar Valentina Pedoia

Session Type:Digital Poster

Session Date:Wednesday, 19 May 2021

Topic:Bone, Cartilage & Joint MRI

Session Name:Cartilage I

Program Number:2959

Room Session:Concurrent 4

Institution:University of California, San Francisco

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Less is more: zero-shot detection and transfer learning for facet arthropathy localization and classification on lumbar spine MRIs

Author:Upasana Bharadwaj Cynthia Chin Valentina Pedoia Sharmila Majumdar

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4053

Room Session:Concurrent 4

Institution:University of California, San Francisco

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State of the ART (Adversarial Robust Training) to Reconstruct Clinically Relevant Features in Accelerated Knee MRI

Author:Francesco Caliva Victor Cheng Rutwik Shah Misung Han Sharmila Majumdar Valentina Pedoia

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Quantitative MSK MRI

Session Name:Quantitative MRI I

Program Number:4213

Room Session:Concurrent 2

Institution:University of California Berkeley University of California San Francisco

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Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

Author:Rutwik Shah Bruno Astuto Arouche Nunes Tyler Gleason Justin Banaga Kevin Sweetwood Allen Ye Will Fletcher Rina Patel Kevin McGill Thomas Link Valentina Pedoia Sharmila Majumdar Jason Crane

Session Type:Digital Poster

Session Date:Tuesday, 18 May 2021

Topic:Machine Learning for Image Analysis

Session Name:Machine Learning: Multimodal & Multireader Insights

Program Number:2420

Room Session:Concurrent 1

Institution:University of California San Francisco

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T_1? relaxation times for voxel-wise characterization of longitudinal changes in hip cartilage biochemistry

Author:Koren Roach Richard Souza Sharmila Majumdar Valentina Pedoia

Session Type:Digital Poster

Session Date:Wednesday, 19 May 2021

Topic:Bone, Cartilage & Joint MRI

Session Name:Cartilage I

Program Number:2948

Room Session:Concurrent 4

Institution:UCSF

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Towards Clinical Translation of Fully Automatic Segmentation and 3D Biomarker Extraction of Lumbar Spine MRI

Author:Madeline Hess Kenneth Gao Radhika Tibrewala Gaurav Inamdar Upasana Bharadwaj Cynthia Chin Valentina Pedoia Sharmila Majumdar

Session Type:Digital Poster

Session Date:Thursday, 20 May 2021

Topic:Artificial Intelligence Applied to MSK MRI

Session Name:Artificial Intelligence

Program Number:4059

Room Session:Concurrent 4

Institution:University of California, San Francisco

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Displaying 1 - 13 of 13

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8X Accelerated Intervertebral Disc Compositional Evaluation with Recurrent Encoder-Decoder Deep Learning Network

Assessment of the potential of a Deep Learning Knee Segmentation and Anomaly Detection Tool in the clinical routine

Characterizing Knee Osteoarthritis Progression with Structural Phenotypes using MRI and Deep Learning

Deep-Learning Based Image Reconstruction for Lumbar Spine MRI at 3T: Clinical Feasibility

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

Fully automatic detection and voxel-wise mapping of vertebral body Modic changes using deep convolutional neural networks

Improving the generalizability of convolutional neural networks for T2-lesion segmentation of gliomas in the post-treatment setting

Learned knee cartilage and meniscus shape features are associated with osteoarthritis incidence

Less is more: zero-shot detection and transfer learning for facet arthropathy localization and classification on lumbar spine MRIs

State of the ART (Adversarial Robust Training) to Reconstruct Clinically Relevant Features in Accelerated Knee MRI

Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

T_1? relaxation times for voxel-wise characterization of longitudinal changes in hip cartilage biochemistry

Towards Clinical Translation of Fully Automatic Segmentation and 3D Biomarker Extraction of Lumbar Spine MRI

Current Filters

TITLE

Author:

Filter

8X Accelerated Intervertebral Disc Compositional Evaluation with Recurrent Encoder-Decoder Deep Learning Network

Assessment of the potential of a Deep Learning Knee Segmentation and Anomaly Detection Tool in the clinical routine

Characterizing Knee Osteoarthritis Progression with Structural Phenotypes using MRI and Deep Learning

Deep-Learning Based Image Reconstruction for Lumbar Spine MRI at 3T: Clinical Feasibility

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

Fully automatic detection and voxel-wise mapping of vertebral body Modic changes using deep convolutional neural networks

Improving the generalizability of convolutional neural networks for T2-lesion segmentation of gliomas in the post-treatment setting

Learned knee cartilage and meniscus shape features are associated with osteoarthritis incidence

Less is more: zero-shot detection and transfer learning for facet arthropathy localization and classification on lumbar spine MRIs

State of the ART (Adversarial Robust Training) to Reconstruct Clinically Relevant Features in Accelerated Knee MRI

Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds.

T1? relaxation times for voxel-wise characterization of longitudinal changes in hip cartilage biochemistry

Towards Clinical Translation of Fully Automatic Segmentation and 3D Biomarker Extraction of Lumbar Spine MRI

T_1? relaxation times for voxel-wise characterization of longitudinal changes in hip cartilage biochemistry